DBMS > Badger vs. Kdb+ vs. OrientDB

System Properties Comparison Badger vs. Kdb+ vs. OrientDB

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Editorial information provided by DB-Engines
Name	Badger  Xexclude from comparison	Kdb+  Xexclude from comparison	OrientDB  Xexclude from comparison
Description	An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.	High performance Time Series DBMS	Multi-model DBMS (Document, Graph, Key/Value)
Primary database model	Key-value store	Time Series DBMS	Document store Graph DBMS Key-value store
Secondary database models		Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.13 Rank #306   Overall #45   Key-value stores	Score 9.12 Rank #53   Overall #2   Time Series DBMS	Score 4.86 Rank #80   Overall #14   Document stores #5   Graph DBMS #12   Key-value stores
Website	github.com/­dgraph-io/­badger	kx.com	orientdb.org
Technical documentation	godoc.org/­github.com/­dgraph-io/­badger	code.kx.com	www.orientdb.com/­docs/­last/­index.html
Developer	DGraph Labs	Kx Systems, a division of First Derivatives plc	OrientDB LTD; CallidusCloud; SAP
Initial release	2017	2000 kdb was released 2000, kdb+ in 2003	2010
Current release		3.6, May 2018	3.1.9, February 2021
License Commercial or Open Source	Open Source Apache 2.0	commercial free 32-bit version	Open Source Apache version 2
Cloud-based only Only available as a cloud service	no	no	no
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Implementation language	Go	q	Java
Server operating systems	BSD Linux OS X Solaris Windows	Linux OS X Solaris Windows	All OS with a Java JDK (>= JDK 6)
Data scheme	schema-free	yes	schema-free Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing predefined data types such as float or date	no	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	yes	no
Secondary indexes	no	yes table attribute 'grouped'	yes
SQL Support of SQL	no	SQL-like query language (q)	SQL-like query language, no joins
APIs and other access methods		HTTP API JDBC Jupyter Kafka ODBC WebSocket	Tinkerpop technology stack with Blueprints, Gremlin, Pipes Java API RESTful HTTP/JSON API
Supported programming languages	Go	C C# C++ Go J Java JavaScript Lua MatLab Perl PHP Python R Scala	.Net C C# C++ Clojure Java JavaScript JavaScript (Node.js) PHP Python Ruby Scala
Server-side scripts Stored procedures	no	user defined functions	Java, Javascript
Triggers	no	yes with views	Hooks
Partitioning methods Methods for storing different data on different nodes	none	horizontal partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	none	Source-replica replication	Multi-source replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no similar paradigm used for internal processing	no could be achieved with distributed queries
Consistency concepts Methods to ensure consistency in a distributed system	none	Immediate Consistency
Foreign keys Referential integrity	no	yes	yes relationship in graphs
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes
User concepts Access control	no	rights management via user accounts	Access rights for users and roles; record level security configurable
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	Badger	Kdb+	OrientDB
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